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Blacks Swans and Gray Rhinos: Building Future Resilience

As all companies have been challenged by the current economic and health crisis, the successful recovery requires a new view toward future development and growth with metrics that consider broad and more long-term goals. Featured in Hydrocarbon Processing, AspenTech’s Paige Morse shares considerations for building future resiliency that center around digitalization.

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How Digitalization and Industrial AI are Accelerating Sustainability

The 2015 Paris Agreement and other international climate change accords have helped raise global awareness of the need for countries to take urgent action to combat climate change. As companies continue to focus on sustainability, a common theme is taking shape around the role of digitalization as a key enabler. In fact, a recent ARC Advisory Group survey revealed that 75% of respondents rated digital transformation as highly important for achieving sustainability goals.

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数字化和工业AI如何加速可持续发展?

2015年《巴黎协定》和其他国际气候变化协定有助于提高全球对各国需要采取紧急行动应对气候变化的认识。随着企业继续关注可持续性,围绕数字化作为关键推动因素的作用,一个共同的主题正在形成。事实上,ARC咨询集团最近的一项调查显示,75%的受访者认为数字化转型对于实现可持续发展目标非常重要。

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Acceleration of Digitalisation is Shaking Up the Process Industry

The impact of COVID-19 has accelerated digitalisation for the process industry. In this exclusive interview with Pipeline Oil & Gas News, Antonio Pietri, President and CEO of AspenTech®, discusses how this acceleration of digitalisation will lead to the creation of a Self-Optimizing Plant.

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Strategies to Manage Asset Performance

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

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Processing Magazine: Why Time's Up on Preventive Maintenance

In this article, Robert Golightly explains the limitations of traditional maintenance practices and how new advancements in predictive maintenance are pushing assets and equipment to the limits of performance. Learn how today's industry leaders are using low-touch machine learning to extract value from design and operations data to predict when and where failures will occur.

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Industrial Data is a Goldmine Building a Sustainable System of Success

To achieve operational excellence, process manufacturers must quickly and systematically address the root causes of asset reliability problems, which include inadequate operating procedures, poor design, and improper scheduling of production.

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Progressive Railroading - The Next Wave of Technological Wonders

“Automation also can help identify issues before something critical fails. Finding problems as early as possible helps improve asset management,” says CSX Executive Vice President and Chief Operating Officer, Cindy Sanborn. Read this article to learn more about CSX’s exciting project with Mtell, which uses patented machine learning technologies with industrial assets to perform predictive maintenance which no longer runs parts to failure.

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When Lightning Strikes Twice

After an electrical storm stopped gas production at one of its plants, SABIC executives and reliability engineers turned to Aspen Fidelis Reliability to calculate the probability of it—or a similarly debilitating event—happening again. Read this article from Plant Services to learn more.

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HP Article: When Digital Transformation Hits all Four Sustainability Buckets

Sustainability is emerging as a critical business topic, as companies focus resources toward lowering emissions, waste and energy use in their production process. In this article, Paige Morse, Chemicals Industry Marketing Director, shares how sustainability affects four key areas within a processing plant and how digital transformation supports sustainability efforts through efficiency improvements.

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